Abstract
This paper proposed a method of edge-aware image processing using standard Laplacian pyramid for medical X-ray image enhancement. It combines edge-aware image processing with multi-scale medical image enhancement algorithm. In particular, after the pyramid decomposition, the large scale edges from small scale detail images are differentiated with a threshold on pixel values. Based on this, a set of image filters are used to achieve edge-preserving smoothing and detail enhancement. The result suggests that our approach enhances the details of the X-ray image by contrast enhancing and edge detail preservation.
This paper was supported by the National 863 Program (2015AA020933) and National Natural Science Foundation of China (61571432, 81427803).
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He, J., Chen, M., Li, Z. (2016). Edge-aware Local Laplacian Filters for Medical X-Ray Image Enhancement. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_11
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DOI: https://doi.org/10.1007/978-3-319-48335-1_11
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